We aim to realize business value for each of our clients quickly. Here's how we can help you:

Analytics and AI can help businesses in countless aspects of creating extra value and optimizing business processes. With so many options, it can be problematic to understand how best to apply the technology for the best results. Our experts, with their specific industry and analytical expertise, will enable your business to create a roadmap to think big, start small and scale fast.

Digital Analytics-1

Thrive in an unsettled market with data-driven decisions based on real-time insights

The power of managed data, supercharged by AI, allows us to create value quickly by unlocking actionable insights to drive business value. Discover new revenue-driven processes, early red-flag signaling, process optimization, new customer segmentation discovery, and much more.

How do you enhance the student experience with digital transformation?

Delivery Services. AI Service Center Services. Co-innovate.

icon-12

SAP Analytics

SAC SAP/BW/4HANA BOBJ/Lumira
Embedded Analytics
icon-100

Cloud Data Engineering

Azure | AWS | GCP
Data Lake
Data Pipelines 
icon-122

AI & Analytics

Data Science/ML
Predictive Models
Visualization 
icon-105

Data & BI

DWH | ETL | BI 
MDM | DM | DG
Data Mart

How LSI's 'Affirmative Risk Scoring' solution helps organizations to detect debtors early:

Affirmative scoring is applied to historical data and real-time online behavior to find patterns that cannot be detected manually to predict future behavior and events.

The use of advanced analytics, data science, ML, and AI techniques recognizes customers that are identified as 'dept risk' profiles.

Our solution develops a 360-degree view of customers, so companies can engage with their customers more effectively and increase debt collection through voluntary payment compliance. Early automatic digital nudge techniques can be used rather than reminder letters to reduce the cost of debt collection.

Retail Analytics

The LSI approach to predictive analytics maximizes business value:

Predictive analytics' primary focus is to optimize processes and create business value.

Using predictive analytics, retailers can predict what individual customers will buy next, so manufacturers can avoid unexpected and costly machine breakdowns. Newspaper distributors can predict with accuracy the quantity of papers to deliver to individual retailers on any given day.

The process is normally underpinned by machine learning (ML), data science, and artificial intelligence (AI) capabilities. However, this approach on its own will struggle to resolve many of today's digital challenges. The LSI approach is focused on deriving value from a multi-pronged approach that fuses innovation, business value, and insights from AI and ML capabilities.

Send us a message

The LSI team is standing by to answer your questions. Whether it's about our company, support & services, the industries we work in, or you just want to learn more, we're here to help.